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Keywords:
Chickpea, Linear discriminant analysis, Morphological marker, Clustering, Seed yield
Mini core collections of chickpea, which represent the entire spectrum of diversity were evaluated and discriminated based on the morphological marker, corolla colour. With this objective, 71 accessions were subjected to discriminant function analysis and principal component analysis. From the box’s M test and normal Q–Q plot, the curve was normally distributed and the percentage of separation achieved was 83.12%, 9.54% and 7.34% for LD1, LD2 and LD3, respectively. Confusion matrix indicated that the accuracy level was 72.9% and 56.5% for the training and testing data sets, respectively. The results indicated that corolla colour might not be an effective parameter in discriminating chickpea accessions. From PCA, three components contributed to 72.41% of variability with the maximum PC 1 (45.69%). Factor analysis disclosed that the first two factors contributed to 80% of the variation and the first one is termed as ‘yield predictors’ and the second factor as ‘morphotype predictors’. The accessions ICC4567 and ICC2884 deserve due attention for enhancing yield while ICC4182 could be adjudged as a yield enhancer as well as a superior material for chickpea ideotype breeding. The communalities for all the traits were high [0.9967 (Days to 50% flowering) to 0.6720 (Pod yield per plant)] and indicated the reliability of the investigated variables. The outcomes of the current research adjudged that due weight had to be given during selection upon the mentioned traits and accessions in chickpea yield enhancing projects.
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The authors express their gratitude to Dr. R.S. Paroda Gene Bank, ICRISAT, Hyderabad and Ramiah Gene Bank, TNAU, Coimbatore for sharing the seeds of the chickpea mini-core collection to carry out the present research work.